38 results about "Web performance" patented technology

The invention relates to the technical field of Web performance optimization, and provides a resource loading optimization method based on dynamic network quality prediction, which comprises the following steps: responding to a webpage resource loading request initiated by a browser end; triggering a Service Worker interceptor registered in the browser environment to intercept the network resource loading request, and collecting multi-dimensional network performance index data of the browser environment in real time; calling a lightweight prediction model operated at the browser end to predict the network state in the target time period, and outputting a prediction result of the network quality grade in the future target time period; a resource loading strategy corresponding to the network quality grade is determined, a Service Worker interceptor executes a corresponding scheduling operation according to the resource loading strategy, and a network state prediction mechanism based on high-frequency sampling and time sequence modeling, a hierarchical dynamic scheduling method of the resource loading strategy and a model updating process driven by closed-loop feedback are introduced. And multi-dimensional safety guarantee measures are provided.

Methods for streaming pageload telemetry data as open telemetry data in a push-based approach are provided. Specifically, methods involve obtaining, from a monitoring agent, telemetry data associated with one or more network communications provided to a web-based service and generating web performance telemetry data from the telemetry data by injecting one or more attributes about at least one of the monitoring agent or the one or more network communications. The one or more attributes are obtained separately from the telemetry data. The methods further involve streaming the web performance telemetry data to one or more observability services.

The present disclosure provides a method and device for attributing page loading performance, an equipment and a storage medium, relates to the technical field of computers, in particular to the field of web performance monitoring. The specific implementation scheme is as follows: determining a comparison result between a loading performance statistical indicator of a target page in an i th time period and a loading performance statistical indicator of the target page in an i+k th time period; determining an influencing factor of the loading performance of the target page in the i+k th time period based on the comparison result and the type of the loading performance statistical indicator, wherein i and k are positive integers. According to the technology of the present disclosure, the loading performance of the target page is analyzed.

In some examples, a method includes receiving, from a plurality of agents executing on scatter network devices, network performance metrics, at least some of the scatter network devices serving as endpoints for logical communication channels formed via a communication channel provider for which a first Internet service provider provides Internet backhaul and the logical communication channels traverse a first relay; aggregating the network performance metrics received from the plurality of agents; analyzing the aggregated network performance metrics to determine operational characteristics of a network; determining, based on the operational characteristics of the network, that the Internet service provider has transitioned from the first Internet service provider to a second Internet service provider to provide the Internet backhaul; and responsive to the determining, providing an instruction to the plurality of agents to modify operational settings of the agents to form logical communication channels that traverse a second relay.

This invention proposes a method for monitoring Nginx metrics using message queues. It belongs to the field of web performance monitoring technology. The method includes: deploying Filebeat as a log collector on the Nginx server to capture Nginx access logs and error logs in real time; encapsulating the collected log data into messages using Filebeat and pushing them to a Kafka message queue via TCP protocol; a consumer pulling log messages from Kafka and parsing and processing the Nginx access logs within the messages; and aggregating Request-URL pairs with the same business meaning using an intelligent aggregation algorithm, summarizing them into a set of monitoring metrics. By capturing Nginx logs in real time using Filebeat and quickly pushing them to Kafka, the monitoring system can respond promptly to changes in the logs.

The invention relates to the technical field of video conference remote supervision, in particular to a video conference remote supervision system and method based on meeting place environment information, and the method comprises the steps: collecting the network performance data of a corresponding server of a video conference in real time, and when the transmission delay in the network performance data of the corresponding server is monitored to be greater than or equal to a first preset threshold value, sending the video conference to a server; based on the real-time concentration state of the conference participants, a dynamic resource allocation strategy is automatically executed, and video stream resource occupation of non-core conference participants is reduced. According to the method, conference participant concentration degree evaluation based on visual analysis is introduced to serve as a key execution basis of a dynamic resource allocation strategy, so that when a server network is congested, a video conference can preferentially guarantee experience of key persons and concentrators, resources of non-core conference participants are limited to a certain extent, and the experience of the video conference is guaranteed. Therefore, the core conference experience is maximized under limited resources.

Systems, devices and automated processes are described for improving media streaming in a server device through intelligent selection of initial cache bitrates. The initial cache bitrate is selected with consideration to both historical data and operating parameters of the server device. Operating parameters can include an amount of cache memory that is available on the server device, as well as an amount of reserve space that is desired to be maintained in case of degradation in network performance or other factors that may occur during transcoding or transmission of the media stream.

A satellite Internet networking structure evaluation method, device, equipment and medium are provided in one or more embodiments of the present application. When evaluating the satellite Internet networking structure, the performance of the established satellite Internet networking structure is comprehensively determined according to the communication link performance indicators, coverage capability indicators, network performance indicators of the established satellite Internet networking nodes, and the first weight and the second weight corresponding to each indicator, so as to determine whether the networking structure meets the requirements. Moreover, the performance of the networking structure is determined through the obtained indicators and the corresponding first weight and second weight, thereby improving the accuracy of the evaluation of the satellite Internet networking structure.

The invention provides a data volume self-adaptive front-end large-screen data scrolling display method and system, and belongs to the technical field of front-end visualization and Web performance optimizing.The system monitors the number N of data items in real time and divides the data items into a small data volume level, a middle data volume level and a large data volume level according to threshold values N1 and N2, and the small data volume is laid in a tiled mode and scrolling is forbidden; local rolling is started for medium data volume, and m preloading buffers are set; virtual scrolling is started for a large amount of data, only a visible area is rendered, and n buffers are set. And the rolling speed is calculated according to v = k / N and is subjected to amplitude limiting. A scrolling progress bar is generated under a large amount of data, and a page prompt is provided when N exceeds a threshold. Destroying corresponding components and cleaning and monitoring, a timer and a cache DOM to release resources during policy degradation; and meanwhile, the rendering opportunity is optimized by using the request IdleCallback and the request Animation Frame, so that the fluency and the stability of the large screen in a data volume fluctuation scene are improved.

The application discloses a service chain-based traffic migration method and device, electronic equipment and storage medium. The method comprises the following steps: after obtaining a plurality of user traffics flowing through a target VNF instance, determining a target user traffic to be migrated and a target service chain corresponding to the target user traffic from the plurality of user traffics according to a traffic migration cost and a traffic routing cost corresponding to each user traffic, and migrating the target user traffic to the target service chain, wherein the traffic routing cost is used to represent the network performance of the virtual network after traffic migration, and the target service chain is a chain sequence set composed of a plurality of VNF instances through which the target user traffic flows. The scheme provided by the application can guarantee the traffic migration effect, reduce the traffic migration cost, and balance the traffic migration cost and the network performance.

Systems and methods for a customized Internet Service Provider (ISP) ranking dashboard include monitoring network traffic of a plurality of tenants of the cloud-based system, wherein the network traffic includes traffic originating from a plurality of computing devices distributed across various geolocations; analyzing the network traffic to determine network performance associated with a plurality of Internet Service Providers (ISPs); and providing a dashboard, wherein the dashboard includes one or more visualizations displaying the network performance of the plurality of ISPs.

The invention provides a method and system for arranging container resources based on computing network conditions, and relates to the field of cloud computing. The method comprises the following steps: building a functional architecture of a computing network scheduling platform, wherein the functional architecture comprises an application management module, a cloud network monitoring center, a resource management center and a collaborative scheduling center; receiving a computing power scheduling request, and obtaining real-time resource state data and network performance data of a plurality of data centers accessing the platform through a resource management center and a cloud network monitoring center; based on the service demand parameters, the real-time resource state data and the network performance data, evaluating each data center according to a preset collaborative scheduling strategy; and recommending an optimal target data center to perform calculation scheduling. According to the method, resources are dynamically planned through the computing network scheduling platform, and the problems of resource scrambling and service degradation of application resources in peak time are solved.

The application discloses a kind of Internet of Things terminal equipment wireless security detection method and system, comprising: the first recording flow of the protection profile of the Internet of Things terminal equipment to be measured in the normal communication wireless network environment is obtained;First recording flow is parsed and randomly deformed, and first attack packet is obtained;Second recording flow of protection profile is obtained in the process of playing first attack packet in wireless network, and second recording flow is compared and analyzed with first recording flow by artificial intelligence engine;If consistent, it is judged that the attack of first attack packet to equipment succeeds, and first attack packet and second recording flow are stored to vulnerability library;If inconsistent, and the analysis result corresponding to second recording flow is that equipment is not responsive, it is judged that the attack of first attack packet to equipment fails.The application directly records the flow of each security function component of the Internet of Things terminal equipment to be measured when facing different attack packets, without being limited to the network performance of the Internet of Things terminal equipment to be measured.

The invention relates to the technical field of cloud computing, and particularly provides a server cluster capacity determination method and device, equipment, a medium and a product, and the method comprises the steps: obtaining the current storage capacity data and network performance data of a to-be-evaluated target server cluster; the storage capacity data and the network performance data are input into an allocated capacity proportion value estimation model, an estimated allocated capacity proportion value of the target server cluster is obtained, the allocated capacity proportion value is the ratio of the allocated capacity to the super-component capacity, the super-component capacity is the product of the total storage capacity of the target server cluster and the super-component rate, and the estimated allocated capacity proportion value of the target server cluster is obtained. The super-division rate is used for indicating a multiplying power that the total storage capacity of the target server cluster is allowed to be excessively allocated; based on the estimated allocated capacity proportion value and the actual allocated capacity proportion value, determining the current allocable total capacity of the target server cluster; according to the invention, the capacity estimation accuracy of the server cluster is improved.

The present application relates to the technical field of Internet of Things device health management, in particular to a smart bed hardware health degree self-evaluation and repair method and device. The method comprises the following steps: a device end acquires sensor original signal data based on a preset sliding time window, acquires a sensor signal quality index value based on the sensor original signal data, and sends the sensor signal quality index value to a cloud end; in a preset monitoring time period at the initial stage of a new algorithm going online, the device end acquires an algorithm performance index value based on data received by an algorithm module, and sends the algorithm performance index value to the cloud end; and the device end acquires network monitoring data based on a preset sliding time window, acquires a network performance index value based on the network monitoring data, and sends the network performance index value to the cloud end. This method can automatically monitor the hardware health condition, accurately diagnose the fault root cause, and intelligently execute the repair strategy, thereby significantly improving the reliability, data accuracy and service quality of the smart bed.

The present disclosure provides system (102) and method (300) for evaluating cellular sites through a mobile application. The system (102) employs one or more processors to initiate a sequence of performance tests, such as speed, video quality, web performance, and traceroute tests. A data acquisition module determines the match between site location identifiers, such as NCI, Cell ID, and PCI, and the device-measured identifiers. A global positioning system (GPS) module ensures the testing device's proximity to the cellular site. Test results are compared against predefined Key Performance Indicators (KPIs) for latency, download, and upload speeds by a verification module. The processors then ascertain if the tests satisfy the KPIs. An interface within the application allows for the re-performance of tests if KPIs are not met and displays the overall pass or fail status of the cellular site, streamlining the site assessment process for field engineers.

The application provides a page file generation method and device, and relates to the technical field of Internet. The method comprises the following steps: receiving a page loading request sent by a terminal, wherein the page loading request comprises page information; obtaining target page data corresponding to the page information and type information of the target page data; determining simplified style data associated with the page information; the simplified style data is obtained by performing simplification processing on full-amount style data corresponding to the type information of the matched page data; obtaining target simplified style data matched with the type information of the target page data from the associated simplified style data; and generating a target page file according to the target page data and the target simplified style data, wherein the target page file is a file used for generating a target page corresponding to the page loading request. Based on the above scheme, the application can effectively improve the page file rendering efficiency, thereby optimizing the web performance and relieving the system pressure of the server.

While organizations can employ IPsec based VPNs to securely connect different sites (e.g., branch sites, data centers, and / or virtual private clouds), the security can disrupt network performance by obfuscating information used for load balancing. Disclosed is technology that employs minimal decryption in a secure manner to load balance multiple network traffic flows within a secure connection (“tunnel”) across security appliances that effectively operate as alternative endpoints for the tunnel. The security appliances within a load balancing pool are configured / programmed to share tunnel keys with each other after tunnel establishment and with the load balancer. The load balancer uses the tunnel keys to minimally decrypt in a lookaside memory encrypted packets to ascertain N-tuples, The load balancer then uses the N-tuples to load balance the flows within a tunnel across the security appliances.

This invention discloses a business operation and maintenance method and system based on a cloud service architecture, relating to the field of cloud computing technology. It includes collecting and formatting various link traffic data for horizontal network performance monitoring and topology generation; collecting microservice performance indicator data for multi-dimensional anomaly detection and analysis; and performing automated repair through fault correlation analysis and location. The method described in this invention helps to quickly identify network bottlenecks and potential security issues, provides accurate basic data for horizontal network performance monitoring and topology generation, optimizes early warning and rapid location performance, effectively reduces the impact of system failures on business operations, realizes intelligent and automated fault handling, shortens fault handling time, reduces operation and maintenance workload, and improves system stability and reliability.

The application discloses a text information reply method and device, and relates to the technical field of knowledge distillation, which comprises the following steps: based on the fine-grained distribution and coarse-grained structure of the attention layer, performing full-dimension knowledge migration, and combining attention grouping integration, learnable matrix dimension unification and double loss constraints to perform corresponding text processing and other operations, solving the technical problem that in the related art, the knowledge migration of distillation is one-sided, when the teacher network and the student network perform one-to-one knowledge distillation between layers, the number and dimension of the attention maps generated by both parties in the corresponding distillation layer cannot be matched, greatly affecting the distillation effect and the performance of the student network, and the technical effect of significantly improving the efficiency and effect of knowledge distillation, helping the student network to fully absorb the attention mode of the teacher network and enhancing the performance of the student network in text processing and other tasks.

The disclosure relates to a computer-implemented method for simulating performance of a web application. The technical problem solved by the disclosure is to identify aspects of a web application that greatly affect user retention and to quantify user retention by modifying the identified aspects of the web application. This is solved by a collecting monitoring data associated with interactions between users and the web application; training a machine learning model with training data; generating virtual performance metrics for the web application; simulating a rate of users leaving the web application based on the virtual performance metrics; identifying at least one modified performance metric causing a change in user retention; and outputting a recommendation specific to the web application.

This application relates to a method and system for encrypted traffic fingerprinting defense, comprising: real-time capture of network traffic of a target app; extraction of burst-level traffic features from the network traffic of the target app, representing them as an app feature matrix; measurement of traffic similarity of the app feature matrix; allocation of the app feature matrix to different anonymity sets, and merging of the anonymity sets to obtain an scalable anonymity set; construction of a dedicated conditional generative adversarial network model, and collection of traffic samples to train the conditional generative adversarial network model, thereby generating obfuscated traffic trajectories; optimization of the obfuscated traffic trajectories using a dynamic optimization strategy to form obfuscated traffic adapted to the actual network environment, and restoration of the obfuscated traffic to the original traffic before forwarding it to the destination server. Using the technical solution of this application, similar apps can be accurately aggregated, matching obfuscated traffic can be generated, network adaptation and edge restoration can be achieved, balancing encrypted traffic defense, network performance and privacy security.

Various methods and processes, apparatuses / systems, and media control peripheral devices in a multi-cloud, multi-desktop environment. A processor creates a synchronization agent that runs on a corresponding terminal of vendor specific remote desktops and act as a coordinator for managing one or more remote desktop applications running on different virtual desktop interface sessions that use different protocol specific to the corresponding vendor specific remote desktops. The synchronization agent receives device control commands from the one or more desktop applications and send them through virtual channels provided by the vendors the order in which it is received. Synchronization agent also sends command response back to the appropriate application from where it received a particular command. The synchronization agent ensures that overlapping and / or same family of commands are not sent over the virtual channels thereby substantially improving user experience and network performance, and protecting the peripheral devices from potential damage.

An approach for collecting network (e.g., Internet) performance metrics from an end-user perspective is disclosed. The approach comprises collecting, by at least one objective agent, a plurality of connection parameters relating to network service quality, wherein the plurality of collected connection parameters include throughput measurements relating to download speed and upload speed. The approach also comprises determining a mean quality index (MQI) score based on the plurality of collected connection parameters, wherein the MQI score is indicative of the network service quality from a user perspective.

This application provides a service area positioning method, apparatus, device, and storage medium. First, it acquires communication data and service quality index data corresponding to each user terminal. The communication data includes user signaling data. Then, based on the service quality index data corresponding to each user terminal, it identifies the users conducting live streaming services through the user terminals, i.e., the live streaming users. Next, based on the user signaling data corresponding to the live streaming users, it determines the live streaming activity volume of the base station cell corresponding to the live streaming users. Finally, it determines the live streaming service area based on the live streaming activity volume. By using user signaling data and service quality index data as references, it achieves accurate positioning of the live streaming service area, providing data support to meet the higher requirements for network performance rates and latency sensitivity needed to conduct live streaming services in the area, thereby improving user experience.

The application relates to the technical field of network security, and provides a traffic sample generation method and device, a program product, a medium and equipment. The method comprises the following steps: generating sql injection payloads by using a sql injection tool; and encapsulating the sql injection payloads to generate http traffic samples. The method combines the advantages of two types of traffic sample generation methods, namely, packet generation and packet capture. On one hand, a large number of sql injection payloads are automatically generated by directly using the sql injection tool, thereby avoiding the process of manually collecting the payloads. On the other hand, the http traffic samples are generated by directly encapsulating the sql injection payloads, without the need to build a target range and perform sql injection in the target range. The sample generation is not constrained by target machines and network performance, thereby significantly simplifying the generation process of the http traffic samples, improving the sample generation efficiency, being beneficial to generating a large number of samples in a short time, and thereby better training a deep learning model for sql injection detection.

Disclosed is a system and method (900) for executing network tests on an electronic device (110) over a network connection. The method comprises receiving, from a remote server (140), work orders to execute the networks tests including a speed test and a web performance test, and scheduling an execution of the speed test and the web performance test based on the work orders. The method further comprises executing the speed test and the web performance test over the network connection, aggregating execution results of the speed test and the web performance test, and transmitting the execution results of each of the at least one speed test and the at least one web performance test to the remote server.

The invention relates to the technical field of development, operation and maintenance integration, and provides a front-end Bundle size and performance budget automatic sticking method which comprises the following steps: S1, triggering an access control task based on a code submission event of a code hosting platform, executing front-end construction in a standardized environment, and collecting dependency graph volume data and core Web performance indexes in parallel; s2, a budget rule associated with the project, the branch and the operation portrait is pulled from a performance budget management center; s3, comparing the collected data with a budget rule, and generating a passing or non-passing decision based on a one-ticket override logic; s4, submitting the access control decision to a code hosting platform interface, and executing release or blocking of code merging in a programmed manner; s5, generating a diagnosis report containing dependency graph difference attribution; and S6, the developer optimizes the code according to the report and then submits the code According to the scheme, a full-process automatic closed loop of construction and measurement-budget comparison-programmed blocking / releasing-interpretable reporting-auditing and archiving is completed before codes are combined into a trunk.

The present disclosure provides a system (102) and a method for web performance testing. The system (102) initiates a web performance test through a web performance testing software module installed on a user equipment, which 5 generates test result data upon completion. An input module receives the test result data from the web performance testing software module. A synchronization module transmits the test result data to a load balancer, which distributes it across a network of servers. These servers stream the test result data into a distributed event streaming platform. A processing module retrieves and processes the streamed data 10 to generate processed test results, which are then stored in one or more databases. The system facilitates efficient web performance testing by managing and processing large volumes of test data across distributed resources.

The invention discloses a text information reply method and device, and relates to the technical field of knowledge distillation, and the method comprises the steps: carrying out the full-dimension knowledge migration based on the fine-grained distribution and coarse-grained structure of an attention level, and carrying out the corresponding text processing and other operations in combination with the attention grouping integration, the learnable matrix dimension unification and the dual loss constraint, the technical problems that in the related technology, distillation knowledge migration is too one-sided, when a teacher network and a student network conduct inter-layer one-to-one knowledge distillation, the number and dimension of attention maps generated by the teacher network and the student network in corresponding distillation layers cannot be matched easily, and the distillation effect and the student network performance are greatly affected are solved. The technical effects of remarkably improving the knowledge distillation efficiency and effect, helping the student network to fully absorb the attention mode of the teacher network and enhancing the performance of the student network in tasks such as text processing are achieved.